Use the normal distribution and the given sample results to complete the test of the given hypotheses. Assume the results come from a random sample and use a 5 % significance level. Test Ho: p = 0.5 vs Ha: p > 0.5 using the sample results p 0.60 with n = 75 Round your answer for the test statistic to two decimal places, and your answer for the p-value to three decimal places. test statistic = p-value =i Conclusion: v Ho- Attempts: 0 of 1 used Submit Answer Save for Later
Use the normal distribution and the given sample results to complete the test of the given hypotheses. Assume the results come from a random sample and use a 5 % significance level. Test Ho: p = 0.5 vs Ha: p > 0.5 using the sample results p 0.60 with n = 75 Round your answer for the test statistic to two decimal places, and your answer for the p-value to three decimal places. test statistic = p-value =i Conclusion: v Ho- Attempts: 0 of 1 used Submit Answer Save for Later
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![### Hypothesis Testing Using Normal Distribution
**Current Attempt in Progress**
Use the normal distribution and the given sample results to complete the test of the given hypotheses. Assume the results come from a random sample and use a 5% significance level.
#### Problem Statement:
Test \( H_0 : p = 0.5 \) vs \( H_a : p > 0.5 \) using the sample results \( \hat{p} = 0.60 \) with \( n = 75 \).
### Instructions:
1. **Calculate the Test Statistic:**
- Use the formula for the test statistic for proportions:
\[
z = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0 (1 - p_0)}{n}}}
\]
where \( \hat{p} \) is the sample proportion, \( p_0 \) is the hypothesized population proportion, and \( n \) is the sample size.
2. **Calculate the p-value:**
- Use the standard normal (Z) table to find the p-value corresponding to the calculated test statistic.
- Ensure to round your answer for the test statistic to two decimal places and the p-value to three decimal places.
3. **State the Conclusion:**
- Based on the p-value, conclude whether to reject the null hypothesis \( H_0 \) or fail to reject the null hypothesis. Use a significance level of \( \alpha = 0.05 \).
### Example Inputs:
- test statistic: [Input box]
- p-value: [Input box]
- Conclusion: [Dropdown menu - Options for decision]
- \( H_0 \) (Fail to reject the null hypothesis)
- \( H_a \) (Reject the null hypothesis)
### Action:
- **Save for Later:** [Button to save progress]
- **Submit Answer:** [Button to submit the answer]
Attempts: 0 of 1 used
*Note: This exercise helps in understanding the process of hypothesis testing and applying the normal distribution to test population proportions.*](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F915c192e-d8ba-4859-b60e-5e514228af12%2F4406cbd1-60b0-48b1-988e-d172a1487fce%2Fvp56l4k_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Hypothesis Testing Using Normal Distribution
**Current Attempt in Progress**
Use the normal distribution and the given sample results to complete the test of the given hypotheses. Assume the results come from a random sample and use a 5% significance level.
#### Problem Statement:
Test \( H_0 : p = 0.5 \) vs \( H_a : p > 0.5 \) using the sample results \( \hat{p} = 0.60 \) with \( n = 75 \).
### Instructions:
1. **Calculate the Test Statistic:**
- Use the formula for the test statistic for proportions:
\[
z = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0 (1 - p_0)}{n}}}
\]
where \( \hat{p} \) is the sample proportion, \( p_0 \) is the hypothesized population proportion, and \( n \) is the sample size.
2. **Calculate the p-value:**
- Use the standard normal (Z) table to find the p-value corresponding to the calculated test statistic.
- Ensure to round your answer for the test statistic to two decimal places and the p-value to three decimal places.
3. **State the Conclusion:**
- Based on the p-value, conclude whether to reject the null hypothesis \( H_0 \) or fail to reject the null hypothesis. Use a significance level of \( \alpha = 0.05 \).
### Example Inputs:
- test statistic: [Input box]
- p-value: [Input box]
- Conclusion: [Dropdown menu - Options for decision]
- \( H_0 \) (Fail to reject the null hypothesis)
- \( H_a \) (Reject the null hypothesis)
### Action:
- **Save for Later:** [Button to save progress]
- **Submit Answer:** [Button to submit the answer]
Attempts: 0 of 1 used
*Note: This exercise helps in understanding the process of hypothesis testing and applying the normal distribution to test population proportions.*
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